Evidence map›Paper›PMID 34177381›Full record

ArticleInternational journal of MS care

Utilization and Treatment Patterns of Disease-Modifying Therapy in Pediatric Patients with Multiple Sclerosis in the United States.

Benjamin Greenberg, Scott Kolodny, Mengru Wang, Chinmay Deshpande

Abstract read
In one paragraph

Article in International journal of MS care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Fingolimod in pediatric-onset multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benjamin Greenberg
Scott Kolodny
Mengru Wang
Chinmay Deshpande

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current landscape and treatment patterns of disease-modifying therapy (DMT) use in pediatric patients with multiple sclerosis (MS) are not yet well understood. This study examined DMT utilization and treatment patterns in pediatric patients newly diagnosed as having MS.

methodsPediatric patients (<18 years old) with two MS diagnosis claims from January 1, 2010, to December 31, 2016, were identified from the MarketScan Commercial Database. The index date was defined as the date of first MS diagnosis, and patients were followed up for 1 year post-index date. Outcomes evaluated included percentage of patients who initiated treatment after MS diagnosis, different DMTs initiated, treatment discontinuation, and switching treatment during follow-up.

resultsOf 182,057 patients newly diagnosed as having MS, 288 pediatric patients (mean age, 14 years; 61% female) were identified. Within the first year of diagnosis, 188 patients (65.3%) did not receive any DMT. The most common first-initiated treatments were interferons and glatiramer acetate (83%), but 28% of patients switched or discontinued from first-initiated treatment within 6 months of treatment initiation.

conclusionsThis study suggests that a considerable proportion of pediatric patients with MS remain untreated within 1 year of diagnosis. Patients most commonly initiated injectables as their first DMT. Overall, therapy failed early in approximately one in three patients. Thus, the study warrants urgency in treating these patients with currently approved treatment options.

Indexed as

Disease-modifying therapy (DMT)Multiple sclerosis (MS)PediatricTreatment patternsUntreated

Identifiers

PMID34177381
PMCPMC8218586

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.